We Are:
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.
You Are:
You are a passionate engineering professional with a deep drive to push the boundaries of semiconductor technology. With a background in physical design and a strong grasp of advanced methodologies, you thrive in dynamic environments where innovation is key. You have extensive experience implementing high-performance interface IPs and are eager to contribute to the development of CPUs, GPUs, and other complex systems at cutting-edge technology nodes.
What you'll do
Develop and enhance PPA (Power, Performance, Area) methodologies for complex interface IPs at advanced technology nodes.
Implement high-performance CPUs, GPUs, and interface IPs using industry-leading Synopsys tools such as RTLA, Fusion Compiler, DSO, and Fusion AI.
Drive flow development and optimization to improve design quality and predictability.
Collaborate with global experts to solve critical design challenges, ensuring the best possible QOR (Quality of Results).
Contribute to the adoption and integration of advanced technologies and tool features in design implementation.
Automate tasks and processes using scripting languages (TCL, Perl, Python) to streamline workflows and boost efficiency.
Analyze and resolve issues related to synthesis, timing closure, power optimization, and constraints management.
Participate in technical reviews and provide guidance on best practices for low-power, high-performance design.
What you need
Minimum 5 years of experience in physical design, with a focus on high-performance and low-power methodologies.
Expertise in synthesis, timing closure, power optimization, constraints management, LEC, and STA flows.
Hands-on experience with advanced process nodes (under 5nm) and complex IP implementation.
Proficiency in scripting languages such as TCL, Perl, and Python for automation and process enhancement.
Strong understanding of RTL, DFT, LDRC, TCM, VCLP, and PTPX; experience with interface IP controllers (UCie, PCIe, USB) is a plus.
Bachelor’s or Master’s degree in Electrical Engineering or related field.
